Artificial intelligence in education: analysis of dynamics, perception, and prospects for integration

Author:

Dzhanegizova А.1ORCID,Nurseiit А. М.2ORCID,Vyborova К. S.2ORCID

Affiliation:

1. al-Farabi Kazakh National University

2. K.Sagadiyev University of International Business

Abstract

This article delves into the intricate relationship between Artificial Intelligence (AI) and the educational ecosystem, particularly within higher education. It embarks on a detailed examination of how AI's integration influences teaching methodologies, learning experiences, and research processes while also casting a spotlight on the accompanying challenges and concerns. Specifically, it scrutinizes the repercussions on pedagogical communication and student engagement, underpinning its analysis with a study that encompasses an array of dimensions: the fluctuation in student populations and the density of higher educational institutions, the degree of digitalization within these entities, and comprehensive questionnaire responses from students that reveal their perceptions and attitudes towards AI's role in education. This study aims to explore the perspectives and experiences of a critical stakeholder group: students. By dedicating focused attention to both the opportunities and obstacles presented by AI in education, this study aims to foster a nuanced comprehension of its impact. It critically evaluates the potential benefits and drawbacks, equipping stakeholders with the insight needed to navigate the evolving educational landscape. Furthermore, this research aims to spotlight trends in digital competitiveness within the educational sector and propose strategic recommendations for achieving a harmonious balance between innovative and traditional pedagogical approaches. Such balance is pivotal for crafting forward-thinking educational strategies amidst the rapid integration of AI technologies. Through this comprehensive analysis, the study seeks to contribute to the broader discourse on optimizing AI's potential in education while mitigating its challenges, thereby supporting the advancement of an education system that is both innovative and inclusive.

Publisher

Academy Qainar

Reference11 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3